Manager, Data Analytics

Walmart Inc

Bentonville, AR

JOB DETAILS
SALARY
$94,557–$155,000 Per Year
SKILLS
Accounts Receivable, Agile Programming Methodologies, Analysis Skills, Artificial Intelligence (AI), Balance Sheet, Best Practices, Big Data, Business Case, Business Development, Business Intelligence, Business Model, Business Solutions, Business Support, Cash Flow, Cloud Computing, Computer Science, Computer Security, Consulting, Contingency Plans, Cross-Functional, Data Analysis, Data Collection, Data Management, Data Modeling, Data Visualization, Database Extract Transform and Load (ETL), Database Management Software/Systems (DBMS), Deep Learning, Documentation, Economics, Establish Priorities, Financial Statements, Income Statements, Machine Learning, Maintain Compliance, Market Research, Mathematics, Metrics, Needs Assessment, Operations Planning, People Management, Power BI, Production Management, Production Schedule, Project Evaluation, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Regulatory Reports, Reporting Dashboards, Reporting Skills, Risk Analysis, Risk Management, Schedule Development, Scrum Project Management and Software Development, Statistical Modeling, Statistics, Storytelling, Team Lead/Manager, Team Player, Technical Leadership, Training Data Sets, User Interface/Experience (UI/UX), Validation Testing
LOCATION
Bentonville, AR
POSTED
2 days ago

What you''ll do...

Position: Manager, Data Analytics

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; partnering with external entities; developing contingency plans for data analysis; determining modeling based on business needs; identifying the need for use of advanced analysis methodologies; developing case theories across business areas; developing assessments of key risks; prioritizing and executing work streams for highly complex or significant allegations; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by consulting with internal organizations; developing insights based on data analysis on highly complex or significant matter; developing big data modeling to identify vulnerabilities; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designing statistical or heuristic models for applications involving multiple statistical techniques and stakeholders; coordinating with internal and external customers to build consistent and accurate strategies for using functional area metrics; developing statistical or segmentation models; identifying critical factors influencing project objectives; performing analyses utilizing advanced software and techniques; evaluating and interpreting results accurately; and presenting conclusions, deliverables, and recommendations to stakeholders to support the business. Develops business intelligence solutions with customers and other system areas by ensuring solution testing and validation; overseeing upgrades and release schedules for business intelligence and database products; managing production of scheduled regulatory reports; ensuring requirements are met to support implementations; managing the compliance reporting database to ensure accuracy and completeness of the data; ensuring development of system documentation; developing materials for state of the art user interfaces that enable business users to interpret trends and exceptions; and reviewing change implementation before and after production installations. Implements compliance reporting strategy by identifying customer and operational needs and developing customized reports to reflect reporting requirements; providing guidance and direction on best practice reporting methods; developing internal reports to monitor obligations, risk mitigation plans, procedures, and long term strategy; identifying performance standards, measuring progress, and adjusting performance accordingly to meet set standards; reviewing and prioritizing report requests; reviewing new reporting concepts and determining business impact; analyzing project requests, developing solutions and providing implementation recommendations; leading cross functional teams responsible for implementing solutions; communicating projects, current reports, and strategy to stakeholders; reviewing third party or industry reporting systems and solutions for implementation options; and working with internal teams to test and implement new reporting technology.

Minimum education and experience required: Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field; OR Bachelor's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field plus 2 years of experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related experience.

Skills Required: Must have experience with: Data analysis and process building using Python and R (Pandas, NumPy, and data visualization libraries); Designing and maintaining artificial intelligence pipelines for model deployment and monitoring; Cloud-based DBMS (e.g., Google BigQuery) for large-scale data analytics; Communicating technical insights to business stakeholders through data storytelling; Designing dashboards and reports with Power BI and interactive applications using Streamlit; Building and evaluating machine learning models (classification, regression, clustering, and deep learning); Project management methodologies - Agile/Scrum practices for analytics projects; Statistical modeling and hypothesis testing for business insights; Data pipeline design and ETL (Extract, Transform, Load) processes, including using Dataiku; Interpreting financial statements (income statement, balance sheet, and cash flow); Market research and deriving actionable business insights from qualitative resources and third-party providers. Employer will accept any amount of experience with the required skills.

Rate of pay: $94,557.00 - 155,000.00 /year

Wal-Mart is an Equal Opportunity Employer.

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. (empty)

About the Company

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Walmart Inc